| { | |
| "model_name": "secondhand-market-classifier", | |
| "version": "1.0.0", | |
| "architecture": "ensemble", | |
| "accuracy": 70.61, | |
| "num_models": 7, | |
| "input_shape": [ | |
| 224, | |
| 224, | |
| 3 | |
| ], | |
| "num_classes": 5, | |
| "class_names": [ | |
| "๊ฐ๊ตฌ", | |
| "์ํ์ฉํ", | |
| "์ ์๊ธฐ๊ธฐ_๋์", | |
| "์ทจ๋ฏธ_๊ฒ์", | |
| "ํจ์ _๋ทฐํฐ" | |
| ], | |
| "preprocessing": { | |
| "resize": [ | |
| 224, | |
| 224 | |
| ], | |
| "normalize": "divide_by_255", | |
| "color_mode": "RGB" | |
| }, | |
| "training_info": { | |
| "dataset_size": 3346, | |
| "training_method": "transfer_learning", | |
| "data_augmentation": true, | |
| "cross_validation": "k_fold", | |
| "optimizer": "AdamW", | |
| "loss_function": "categorical_crossentropy" | |
| }, | |
| "created_at": "2025-06-23T13:34:19.126875", | |
| "framework": "tensorflow", | |
| "python_version": "3.9+", | |
| "dependencies": [ | |
| "tensorflow>=2.10.0", | |
| "fastapi>=0.68.0", | |
| "uvicorn>=0.15.0", | |
| "pillow>=8.0.0", | |
| "numpy>=1.21.0" | |
| ] | |
| } |